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<title>Faculty Research Publications (Water Research)</title>
<link>http://hdl.handle.net/1957/14204</link>
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<pubDate>Thu, 23 May 2013 12:03:38 GMT</pubDate>
<dc:date>2013-05-23T12:03:38Z</dc:date>
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<title>Field method for separating the contribution of surface-connected preferential flow pathways from flow through the soil matrix</title>
<link>http://hdl.handle.net/1957/36867</link>
<description>Field method for separating the contribution of surface-connected preferential flow pathways from flow through the soil matrix
Sanders, Emily C.; Abou Najm, Majdi R.; Mohtar, Rabi H.; Kladivko, Eileen; Schulze, Darrell
Liquid latex was used as a method to seal visible surface-connected preferential flow pathways (PFPs) in the field in an effort to block large surface-connected preferential flow and force water to move through the soil matrix. The proposed approach allows for the quantification of the contribution of large surface-connected cracks and biological pores to infiltration at various soil moisture states. Experiments were conducted in a silty clay loam soil in a field under a no-till corn-soybean rotation planted to corn. Surface intake rates under ponding were measured using a simplified falling head technique under two scenarios: (1) natural soil conditions with unaltered PFPs and (2) similar soil conditions with latex-sealed large macropores at the surface. Results indicated that the contribution of flow from large surface-connected macropores to overall surface intake rates varied from approximately 34% to 99% depending on the initial moisture content and macroporosity present. However, evidence of preferential flow continued to appear in latex-sealed plots, suggesting significant contributions to preferential flow from smaller structural macropores, particularly in two out of four tests where no significant differences were observed between control and latex-sealed plots.
This is the publisher’s final pdf. The published article is copyrighted by the American Geophysical Union and can be found at: http://www.agu.org/journals/wr/.
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<pubDate>Sat, 28 Apr 2012 00:00:00 GMT</pubDate>
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<dc:date>2012-04-28T00:00:00Z</dc:date>
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<title>Optimally managing a stochastic renewable resource under general economic conditions</title>
<link>http://hdl.handle.net/1957/14967</link>
<description>Optimally managing a stochastic renewable resource under general economic conditions
McGough, Bruce; Plantinga, Andrew J.; Costello, Christopher
Empirical evidence indicates that environmental fluctuations have important effects on fisheries&#13;
production. However, existing analytical solutions of stochastic fisheries models have been&#13;
produced only under highly simplified economic and biological conditions. The main contribution&#13;
of this paper is to derive under general conditions a policy function for the management of a&#13;
stochastic fishery. Our model includes general specifications of demand and cost relationships and&#13;
a stochastic biological growth function with serially-correlated shocks. Applying methods from&#13;
the theory of dynamic stochastic general equilibrium modeling and multivariate linear expectational&#13;
difference equations, we derive a linear approximation of the solution to the model. Our&#13;
main result is a reduced-form expression for an approximation to optimal escapement, which is&#13;
shown to be a function of the current stock, past environmental shocks, and model parameters.&#13;
This theoretically-grounded policy function has intuitive appeal, yields insights into comparative&#13;
statics, and provides a theoretically-grounded, practical starting point for fisheries management.
Article appears in and is copyrighted by Berkeley Electronic Press (http://www.bepress.com/)
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<pubDate>Mon, 28 Dec 2009 00:00:00 GMT</pubDate>
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<dc:date>2009-12-28T00:00:00Z</dc:date>
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